Minimum qualifications:

• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with cloud infrastructure (e.g., hardware shapes, sizes, auto-scaling, auto-provisioning, etc.).
• Experience building or leveraging machine learning solutions and developing applications using AI frameworks and methods.

Preferred qualifications:

• Experience designing/developing large-scale infrastructure farms for specialist AI use cases.
• Experience training and fine-tuning large models (i.e., image, language, segmentation, recommendation, genomics) with accelerators.
• Experience with containerization, Kubernetes, Kubernetes on cloud.
• Experience with running MLPerf benchmarks.
• Experience with performance profiling tools (i.e., Tensorflow profiler...